Remote AI Automation Engineer for Production ML and Security

Luta Security; United States; Remote; USD 152,000 - 207,000; Full time

Job summary

Luta Security in the United States is seeking AI Automation Engineers for remote contract roles. You will design, build, and deploy AI-powered applications alongside security professionals, extending open source codebases and documenting architecture and operations.

The role emphasizes production systems using LLM APIs, retrieval, embeddings, agent frameworks, and secure development practices. Prior experience with AWS, PostgreSQL, and vulnerability awareness is valued.

Qualifications

• Strong Python development skills, including Django or a similar web framework.
• Experience building production systems on LLM APIs, including retrieval, embeddings, and agent frameworks.
• Experience with text similarity and clustering techniques.
• Experience building evaluation pipelines for LLM output.
• Experience forking and maintaining open source codebases, including upgrading legacy dependencies and managing license compliance.
• Experience deploying and operating applications on AWS, including authentication, storage, queueing, and notification services.
• PostgreSQL and data modeling experience.
• Secure development practices, including access control and secrets management.
• Working knowledge of common vulnerability classes, CVSS, and CWE.

Responsibilities

• Design, build, and deploy AI-powered applications and automation
• Extend and maintain open source codebases
• Work with security experts to turn requirements into production software
• Document architecture, deployment, and operating procedures

Skills

Python development

LLM APIs

Text similarity

Clustering techniques

Evaluation pipelines

Open source maintenance

Security practices

Tools

Django

AWS

PostgreSQL

CI/CD

Container tech

Job description

Luta Security in the United States is seeking AI Automation Engineers for remote contract roles. You will design, build, and deploy AI-powered applications alongside security professionals, extending open source codebases and documenting architecture and operations.

The role emphasizes production systems using LLM APIs, retrieval, embeddings, agent frameworks, and secure development practices. Prior experience with AWS, PostgreSQL, and vulnerability awareness is valued.